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- 2024
-
Mark
Spatiotemporal variability of dust storm source susceptibility during wet and dry periods: The Tigris-Euphrates River Basin
(
- Contribution to journal › Article
-
Mark
A Literature Review of Probabilistic Hygrothermal Assessment for Building Envelopes
(
- Contribution to journal › Scientific review
-
Mark
Ensemble of pruned bagged mixture density networks for improved water quality retrieval using Sentinel-2 and Landsat-8 remote sensing data
(
- Contribution to journal › Article
-
Mark
Unveiling the drivers of atmospheric methane variability in Iran : A 20-year exploration using spatiotemporal modeling and machine learning
(
- Contribution to journal › Article
-
Mark
Climate change dominated runoff change in the eastern Tibetan Plateau
(
- Contribution to journal › Article
- 2023
-
Mark
Robust probabilistic modelling of mould growth in building envelopes using random forests machine learning algorithm
(
- Contribution to journal › Article
-
Mark
InSAR-AI-Based Approach for Groundwater Level Prediction in Arid Regions
2023) EGU General Assembly 2023(
- Contribution to conference › Paper, not in proceeding
-
Mark
Suspended sediment load prediction and tree-based algorithms
2023) p.257-270(
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Examining the Role of the Main Terrestrial Factors Won the Seasonal Distribution of Atmospheric Carbon Dioxide Concentration over Iran
(
- Contribution to journal › Article
- 2022
-
Mark
Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood
(
- Contribution to journal › Article
-
Mark
An Integrated InSAR-Machine Learning Approach for Ground Deformation Rate Modeling in Arid Areas
(
- Contribution to journal › Article
-
Mark
Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran
(
- Contribution to journal › Article
-
Mark
Human-induced arsenic pollution modeling in surface waters : An integrated approach using machine learning algorithms and environmental factors
(
- Contribution to journal › Article
- 2021
-
Mark
APG: A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies
(
- Contribution to journal › Article
- 2020
-
Mark
Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors
(
- Contribution to journal › Article
-
Mark
Development of novel hybridized models for urban flood susceptibility mapping
(
- Contribution to journal › Article
-
Mark
Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
(
- Contribution to journal › Article
- 2019
-
Mark
Cartografía del potencial de agua subterránea utilizando un nuevo modelo de conjuntos de minería de datos
(
- Contribution to journal › Article
-
Mark
Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater
(
- Contribution to journal › Article